Back to search

Article

Different learning algorithms achieve shared optimal outcomes in humans, rats, and mice

2023-01-31

Abstract excerpt

Animals must exploit environmental regularities to make adaptive decisions, yet the learning algorithms that enabels this flexibility remain unclear. A central question across neuroscience, cognitive science, and machine learning, is whether learning relies on generative or discriminative strategies. Generative learners build internal models the sensory world itself, capturing its statistical structure; discrimina...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4f9a794c-8cdb-59c8-9f69-1bfb8cad6904
DOI
10.1101/2023.01.30.526119
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Different learning algorithms achieve shared optimal outcomes in humans, rats, and miceDOI 10.1101/2023.01.30.526119
Select a neighboring publication to make it the new centre.